You can deploy this model and start earning money today!

Ludo33/
e5_EC_v2

Name: e5_EC_v2
Availability: InStock

Views

No views yet

e5_EC_v2

This model is a fine-tuned version of intfloat/multilingual-e5-large-instruct on the None dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
2.0685	1.0	81	1.1118	0.7713	0.7709
0.5172	2.0	162	0.3434	0.8910	0.8922
0.2829	3.0	243	0.2663	0.9189	0.9192
0.1237	4.0	324	0.2979	0.9158	0.9157
0.065	5.0	405	0.3067	0.9274	0.9275
0.0452	6.0	486	0.3848	0.9181	0.9183